Started creating Face Tracking demo Look into how to add features, track certain face elements, … Combining Face Tracking with AR, ML, … (https://towardsdatascience.com/real-time-3d-face-tracking-with-deep-learning-963b91bb5ad4, https://medium.com/datadriveninvestor/machine-learning-on-facial-recognition-b3dfba5625a7) Found really interesting blogpost on AR tracking of objects (https://medium.com/dev-genius/play-video-with-arkit-and-image-tracking-e8b52dc4ad76)

Started looking at Face Tracking Followed tutorials on face tracking, recognition using ARKit (https://developer.apple.com/documentation/arkit/tracking_and_visualizing_faces, https://www.youtube.com/watch?v=2CQDV2SOyOo, https://www.novatec-gmbh.de/en/blog/arkit-face-recognition-ios/)

Finalized createML demo (https://github.com/jaspervermeulen/ImageClassifier) Pushed everything to github and closed project

Worked more on custom machine learning models / classifiers (PlantsClassifier and DrinkClassifier) Followed tutorials on createML (https://www.youtube.com/watch?v=a905KIBw1hs, https://www.youtube.com/watch?v=x9_BG2q7XYw&t=2557s)

Started looking at createML (https://developer.apple.com/documentation/createml) Started creating custom machine learning classifier and implementing it Used standard project to test out these classifiers, own ml models

Completed MNIST demo (https://github.com/jaspervermeulen/CoreMLMNIST) Looked intro other models to experiment with

Looked into CoreML (https://www.apple.com/benl/macos/big-sur/) Followed online tutorials CoreML and different machine frameworks Looked at different Models, premade and how to make them yourself (createML) Started developing CoreML demo (MNIST)

Looked into Big Sur, new updates, features (https://www.apple.com/benl/macos/big-sur/) Looked into macOS development